Back to Search Start Over

A circRNA signature predicts postoperative recurrence in stage II/III colon cancer

Authors :
Huai‐Qiang Ju
Qi Zhao
Feng Wang
Ping Lan
Zixian Wang
Zhi‐Xiang Zuo
Qi‐Nian Wu
Xin‐Juan Fan
Hai‐Yu Mo
Li Chen
Ting Li
Chao Ren
Xiang‐Bo Wan
Gong Chen
Yu‐Hong Li
Wei‐Hua Jia
Rui‐Hua Xu
Source :
EMBO Molecular Medicine, Vol 11, Iss 10, Pp n/a-n/a (2019)
Publication Year :
2019
Publisher :
Springer Nature, 2019.

Abstract

Abstract Accurate risk stratification for patients with stage II/III colon cancer is pivotal for postoperative treatment decisions. Here, we aimed to identify and validate a circRNA‐based signature that could improve postoperative prognostic stratification for these patients. In current retrospective analysis, we included 667 patients with R0 resected stage II/III colon cancer. Using RNA‐seq analysis of 20 paired frozen tissues collected postoperation, we profiled differential circRNA expression between patients with and without recurrence, followed by quantitative validation. With clinical information, we generated a four‐circRNA‐based cirScore to classify patients into high‐risk and low‐risk groups in the training cohort. The patients with high cirScores in the training cohort had a shorter disease‐free survival (DFS) and overall survival (OS) than patients with low cirScores. The prognostic capacity of the classifier was validated in the internal and external cohorts. Loss‐of‐function assays indicated that the selected circRNAs played functional roles in colon cancer progression. Overall, our four‐circRNA‐based classifier is a reliable prognostic tool for postoperative disease recurrence in patients with stage II/III colon cancer.

Details

Language :
English
ISSN :
17574684 and 17574676
Volume :
11
Issue :
10
Database :
Directory of Open Access Journals
Journal :
EMBO Molecular Medicine
Publication Type :
Academic Journal
Accession number :
edsdoj.94e8fd3a10b94556b180eefd64ab1aa9
Document Type :
article
Full Text :
https://doi.org/10.15252/emmm.201810168